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ORCIDYi Ding 0010
Person information
- affiliation: Georgia State University, Department of Computer Science, Atlanta, GA, USA
- affiliation (PhD 2022): University of California Santa Barbara, Santa Barbara CA, USA
Other persons with the same name
- Yi Ding — disambiguation page
- Yi Ding 0001
![[0000-0003-4389-5636]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4389-5636")
— Zhejiang University, College of Electrical Engineering, Hangzhou, China (and 2 more) - Yi Ding 0002 — National Central University, Department of Electrical Engineering, Taoyuan, Taiwan
- Yi Ding 0003 — University of Electronic Science and Technology of China, School of Information and Software Engineering, Chengdu, China
- Yi Ding 0004 — Beijing University of Posts and Telecommunications, Beijing, China
- Yi Ding 0005 — Hubei University of Technology, Hubei Collaborative Innovation Center for High-Efficiency Utilization of Solar Energy, Wuhan, China
- Yi Ding 0006 — University of Chicago, IL, USA
- Yi Ding 0007 — Huazhong University of Science and Technology, Department of Computer Science and Technology, Wuhan, China (and 1 more)
- Yi Ding 0008 — Shanghai Maritime University, Logistics Research Center, Shanghai, China
- Yi Ding 0009 — Beijing Wuzi University, School of Information, China
- Yi Ding 0011 — University of Texas at Dallas, TX, USA (and 1 more)
- Yi Ding 0012 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Yi Ding 0013 — Anhui Polytechnic University, School of Economics and Management, Wuhu, China (and 1 more)
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2020 – today
- 2024
[c7]Uthman Jinadu, Yi Ding:
Noise Correction on Subjective Datasets. ACL (1) 2024: 5385-5395- 2023
- [i3]Uthman Jinadu, Jesse Annan, Shanshan Wen, Yi Ding:
Loss Modeling for Multi-Annotator Datasets. CoRR abs/2311.00619 (2023) - 2022
- [b1]Yi Ding:
Imperfect Label Information in Multimodal Human-Centric Machine Learning. University of California, Santa Barbara, USA, 2022 - [j1]Yi Ding, Jacob You, Tonja-Katrin Machulla, Jennifer Jacobs, Pradeep Sen, Tobias Höllerer:
Impact of Annotator Demographics on Sentiment Dataset Labeling. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-22 (2022) - 2021
- [c6]Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer:
Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract). AAAI 2021: 15855-15856 - [c5]Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer:
Augmentation Strategies for Learning With Noisy Labels. CVPR 2021: 8022-8031 - [i2]Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer:
Augmentation Strategies for Learning with Noisy Labels. CoRR abs/2103.02130 (2021) - [i1]Yi Ding, Alex Rich, Mason Wang, Noah Stier, Matthew A. Turk, Pradeep Sen, Tobias Höllerer:
Sparse Fusion for Multimodal Transformers. CoRR abs/2111.11992 (2021) - 2020
- [c4]Anish Kachinthaya, Yi Ding, Tobias Höllerer:
Exploring the Benefits of Depth Information in Object Pixel Masking (Student Abstract). AAAI 2020: 13833-13834 - [c3]Yi Ding, Radha Kumaran, Tianjiao Yang, Tobias Höllerer:
Predicting Video Affect via Induced Affection in the Wild. ICMI 2020: 442-451
2010 – 2019
- 2019
- [c2]Vrishab Krishna, Yi Ding, Aiwen Xu, Tobias Höllerer:
Multimodal Biometric Authentication for VR/AR using EEG and Eye Tracking. ICMI (Adjunct) 2019: 6:1-6:5 - [c1]Yi Ding, Brandon Huynh, Aiwen Xu, Tom Bullock, Hubert Cecotti, Matthew A. Turk, Barry Giesbrecht, Tobias Höllerer:
Multimodal Classification of EEG During Physical Activity. ICMI 2019: 185-194
Coauthor Index
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